neptune-ai/examples

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

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maxbalrog/light-by-light

Utility functions for running gridscans and optuna optimizations for light-by-light scattering simulated with VacEm

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amir-9473/Hyperparameter-Tuning-of-Machine-Learning

Hyperparameter Optimization for Pima Indians Diabetes Machine Learning Classification using Optuna in Python.

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telekom/mltb2

Machine Learning Toolbox 2

Language: Python - Size: 3.51 MB - Last synced: about 3 hours ago - Pushed: about 20 hours ago - Stars: 8 - Forks: 2

cmunch1/nba-prediction

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

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mgckaled/rs_devia_unsupervised-algorithms

Repositório que reuni os módulos 14 ao 16 da formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

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optuna/optuna-dashboard

Real-time Web Dashboard for Optuna.

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GSimonX37/VGChartz

Разработка программы по сбору и систематизации данных о более 50 тыс. видеоиграх с сайта VGChartz.com. Анализ данных. Решение задачи регрессии. Оценка моделей c использованием показателей: RMSE, масштабируемости и гетероскедастичности остатков. Интеграция модели в web-сервис.

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GSimonX37/Backloggd

Разработка программы по сбору и систематизации данных о более 100 тыс. видеоиграх с сайта Backloggd.com. Решение задачи многоцелевой классификации. Оценка моделей c использованием показателей: F1-weighted, масштабируемости и калибровки. Интеграция модели в web-сервис.

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andrejobuljen/CNN-HI

Cosmology from HI maps using CNNs

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CyberAgentAILab/cmaes

Python library for CMA Evolution Strategy.

Language: Python - Size: 388 KB - Last synced: 5 days ago - Pushed: 15 days ago - Stars: 318 - Forks: 57

klieret/ray-tune-slurm-demo

Testing ray tune with slurm batch submission and optuna and wandb

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AGnias47/brats-challenge-cis-5528

Brain Tumor Segmentation Pipeline for BraTS Challenge

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kochlisGit/ProphitBet-Soccer-Bets-Predictor

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

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andreeaiana/newsreclib

PyTorch-Lightning Library for Neural News Recommendation

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Amr-Abdellatif/HyperParameters-Tuning-using-Optuna---PyTorch

starter pack for Hyperparameters Tuning using OPTUNA - PyTorch model

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owenodriscoll/AutoML

Python package for automated hyperparameter-optimization of common machine-learning algorithms

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Master-sniffer/ML

Here I write some code for ML and NN with pain

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MobileTeleSystems/CoolGraph

Make GNN easy to start with

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emrecanduran/Bike-Rental-Regression-Models

This repository contains code for a bike rental prediction models including Random Forest, XGBoost, GradientBoosting, and Lasso Regression.

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tokusumi/hyperparameter_tuning

Optuna hyperparameter search wrapper

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sile/plumtuna

An implementation of Optuna storage layer based on Plumtree

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solegalli/hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

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george-mitchell/Predicting-Loan-Default

A model for predicting loan default based on historical data.

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fhswf/MLPro-Int-Optuna

Language: Python - Size: 2.09 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0

lucidfrontier45/optuna-async-helper

A Helper Library to run asynchronous optimization with Optuna

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MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

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ches-001/metatune

Search for a model and corresponding hyperparameters that best model your data

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antbartash/australian_rain

HPO for DNN and other ML algorithms

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Adeemy/end-to-end-ml

An end-to-end ML project for tabular data.

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jmrichardson/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

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NaquibAlam/TheMisfits

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rcoteru/ai4es23

Code submission for the AI4ES Datathon 2023 (task B)

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nzw0301/optuna-wandb

Example codes in the medium post titled "Optuna meets Weights and Biases."

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Alex1iv/Loan_repayment

Improvement the rate of return of the loan portfolio

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Alex1iv/Deposit-subscription

It was studied factors of subscription for a term deposit after the direct marketing campaign.

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Alex1iv/Bank_customers_outflow

Prediction of the client outflow from a bank using random forest ML model.

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01zhas/Predicting-mining-quality

Прогнозирование качества извлечение оксида железа из руды с помощью машинного обучения

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neptune-ai/neptune-client

📘 The MLOps stack component for experiment tracking

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DogsTailFarmer/martin-binance

Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.

Language: Python - Size: 14.4 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 156 - Forks: 41

fork123aniket/End-to-End-Node-and-Graph-Classification-and-Explanation-App

Streamlit App for Node and Graph Classification and Explainability

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pavlosdais/Deep-Learning-NLP

Deep learning for Natural Language Processing

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mesudepolat/ml-pipeline

Creating an end-to-end machine learning pipeline, implementing experiment tracking with MLflow, and performing hyperparameter optimization using Optuna.

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mijanr/AutoTSFlow

An automated code-base for time-series classification

Language: Python - Size: 15.7 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 1

Alex1iv/customer_segmentation

Credit card users segmentation with multiple methods: K-means, agglomerative_clustering

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cthoyt/class-resolver

🔍 Lookup classes and instantiate them with style

Language: Python - Size: 233 KB - Last synced: 13 days ago - Pushed: 3 months ago - Stars: 60 - Forks: 8

weiji14/deepbedmap

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

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sugatagh/Site-Energy-Usage-Intensity-Prediction

The objective of the project is to predict energy usage intensity of a building in a given year, based on building characteristics as well as weather data for the location of the building. The dataset contains about 100 thousand observations of building energy usage records collected over 7 years, in several states within the United States.

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ChangZero/mlflow-optuna-multi-view-learning

Multi-View Learning, Optuna, MLflow

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AndreMenezesDS/PA004_health_insurance

Health Insurance Cross-Sell(Learning to Rank Machine Learning Project)

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kr-agdeppa/UTI-Diagnosis-Classification

Optimizing U.T.I Diagnosis with Machine Learning and Artificial Neural Network for Reducing Misdiagnoses

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apethani21/aus-rain-prediction

Binary classification project on trying to predict whether or not it will rain the next day using weather features, for various locations across Australia.

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wlopezm-unal/Titanic_ship-streamlit

Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result

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PetropoulakisPanagiotis/Multi-View-RGB-based-Recognition-and-Reconstruction

Multi-View RGB-based Recognition and Reconstruction in PyTorch

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khanhvu207/simple-tabular

A simple classification/regression ML pipeline for tabular data

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JBris/model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

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rajesvariparasa/ml-processing-pipeline-for-predicting-houseprices

This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.

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necmettinalver/turkiye-is-bankasi-ml-challenge-5

kaggle competitions solution with catboost and optuna

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SepKfr/Coarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect

Forecast-blur-denoise forecasting model with PyTorch

Language: Python - Size: 764 KB - Last synced: 14 days ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

neslisahcelek/algorithmic-trading-with-ml

This project explores the application of machine learning models for predicting stock price movements using financial indicators and historical stock price data.

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telekom/HPOflow 📦

Tools for Optuna, MLflow and the integration of both.

Language: Python - Size: 6.41 MB - Last synced: 11 days ago - Pushed: 12 months ago - Stars: 18 - Forks: 2

galatolofederico/easyopt

zero-code hyperparameters optimization framework

Language: Python - Size: 54.7 KB - Last synced: 2 days ago - Pushed: 4 months ago - Stars: 10 - Forks: 1

siemdejong/skinstression

Perform skin stress-strain curve regression on SHG images using deep learning

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ArpanBiswas99/Battery-State-of-Charge-Estimation

This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.

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cs-uche/Car-Prices-Prediction

Advanced Machine Learning Regression: Predicting Car Prices

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kr-agdeppa/Baybayin-Character-Recognition

Using Convolutional Neural Network to Recognize Baybayin Characters

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jsinkx/traffic-accident-ml

Forecast car and traffic accidents depending on weather with machine learning

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Lizhecheng02/Kaggle-Linking_Writing_Processes_to_Writing_Quality

Predicting writing quality based on data statistics of the writing process. The key lies in feature engineering and tree models.

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ArtemKornev0/Classification-task.-Based-Occupancy-Estimation-Using-Multivariate-Sensor-Nodes-

Задача классификации (Оценка занятости помещения на основе многомерных сенсорных узлов) / Classification task. (Based Occupancy Estimation Using Multivariate Sensor Nodes)

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ArtemKornev0/Classification-task-deposit-

Задача классификации. (предсказание открытия клиентом депозита в банке) / Classification task. Prediction of the client's deposit opening in the bank.

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xahid007/Penguins-Species-Classification

palmer penguins Dataset- Classification of penguin's species using supervised machine learning

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himkt/allennlp-optuna

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

Language: Python - Size: 339 KB - Last synced: 1 day ago - Pushed: over 2 years ago - Stars: 32 - Forks: 5

Vicarious987/cub-orders-number-forecasting

Прогнозирование числа заказов такси на основе временных рядов.

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Vicarious987/sentiment_analysis

Определение тональности текста

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ahabegger/CNN-Image-Classification

A custom Convolutional Neural Network (CNN) architecture named FinalNet used to classify images. It is specifically designed for the CIFAR-10 dataset, with the objective of surpassing the classification accuracy of existing models like YourNet and LeNet​.

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Vicarious987/car_accident_prediction

Предсказание попадания в ДТП автомобиля, забронированного в каршеринговой компании, по выбранному маршруту.

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Vicarious987/star_temperature_prediction

Предсказание температуры на поверхностях звезд.

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Vicarious987/hotel_false_booking_detection

Предсказание отмены брони номера в отеле.

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sjwan01/baseline_optimal

A Python package for machine learning pipeline optimization

Language: Python - Size: 3.18 MB - Last synced: 21 days ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

fionalutaj/Year4_ReinforcementLearning

This repo contains the code used in the two Reinforcement Learning assignments offered by the Department of Computing at Imperial College. Each folder contains the individual spec file along with the code solution.

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Devanshu0502/Enefit_forecasting

Language: Jupyter Notebook - Size: 7.97 MB - Last synced: 30 days ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

sonnguyen129/Credit-Card-Fraud-Detection

Predict fraud transaction

Language: Jupyter Notebook - Size: 469 KB - Last synced: 5 months ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 0

ayjab/tune_ml

This repository is useful for tuning machine learning models for both classification and regression using four methods: Bayesian Optimization, Random Search, Grid Search, and Optuna.

Language: Python - Size: 53.7 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

nicolaivicol/ml-pred-default-deploy-aws-sagemaker

Modelling and prediction of default + deployment via AWS Sagemaker

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MD-Ryhan/Bert-Hyperparameter-Tuninug-with-Optuna

Language: Jupyter Notebook - Size: 12.7 KB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

shment7/kaggle-solutions

Solutions for Kaggle challenges

Language: Jupyter Notebook - Size: 1.58 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

AndreFCruz/hpt

Hyperparameter tuning with minimal boilerplate

Language: Python - Size: 3.36 MB - Last synced: 12 days ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

elena-ecn/optuna-optimization-for-PyTorch-CNN

Hyperparameter optimization study for a PyTorch CNN with Optuna.

Language: Python - Size: 26.4 KB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 9 - Forks: 0

boemer00/edge-processing-remote-sensing

Develop a lightweight, efficient neural network model for real-time satellite image classification on cloud-based edge computing environments, focusing on robustness and adaptability.

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Denis-Mukhanov/english-score

Practicum Workshop

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amine759/Bitcoin-Forecasting

Multivariate Time series forecasting of daily Bitcoin prices.

Language: Jupyter Notebook - Size: 689 KB - Last synced: 30 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

gabriel-solon-padilha/analise_de_sentimento_tweets_NLP

Décimo projeto de machine learning, dessa vez como foco em NLP para análise de sentimentos de posts do twitter.

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DanniRodrJ/milling-machine_failure-prediction

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

Size: 1.89 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

mustafaabudakk/DeepSpeech-Optuna

Mozilla DeepSpeech Model with Optuna Integration

Language: C++ - Size: 4.07 MB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

yaroslav-vorobyov/SF_DST

Data Science Professional course

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Devanshu0502/Road-Severity-Classification

Language: Jupyter Notebook - Size: 1.84 MB - Last synced: 30 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

pierogio/ML_classification

Machine learning classification applied to wine recognition data.

Language: Jupyter Notebook - Size: 5.76 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

prateekagrawaliiit/100-Days-of-ML

The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning

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naoki-vn634/optuna_utils

Pytorch Optuna Implementation for simple Image Recognition Task

Language: Python - Size: 13.7 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

rakesh-yadav/PyTorch-RNN-Tutorial

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

Language: Jupyter Notebook - Size: 2 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 19 - Forks: 2